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Overview use in multiple visual information resolution interfaces.

Heidi Lam1, Tamara Munzner, Robert Kincaid

  • 1University of British Columbia. hllam@cs.ubc.ca

IEEE Transactions on Visualization and Computer Graphics
|October 31, 2007
PubMed
Summary
This summary is machine-generated.

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Users only effectively use low-resolution overviews for simple visual targets. Multiple visual information resolution (VIR) interfaces offer no performance benefits over high-VIR views alone, suggesting high cognitive load hinders usability.

Area of Science:

  • Human-Computer Interaction
  • Information Visualization
  • User Interface Design

Background:

  • Multiple Visual Information Resolution (VIR) interfaces balance display capacity and detail.
  • Low-VIR overviews often simplify visual details, assuming users will zoom into high-VIR for specifics.
  • Designers lack guidance for low-VIR design with single-level data.

Purpose of the Study:

  • To investigate user interaction with multiple-VIR interfaces.
  • To understand the trade-off between display capacity and visual target perceivability.
  • To guide the design of effective multiple-VIR interfaces.

Main Methods:

  • Evaluated user behavior in two multiple-VIR interfaces (embedded vs. separate high-VIR displays).
  • Assessed the impact of visual target complexity and span on overview usage.

Related Experiment Videos

  • Compared performance against using a high-VIR view exclusively.

    • Main Results:

    • Users reliably used low-VIR overviews only for simple targets with small visual spans.
    • Over 20% of participants exclusively used the high-VIR view when targets were complex.
    • Neither multiple-VIR interface showed performance benefits over the high-VIR view alone.
    • Side-by-side comparisons in multiple-VIR interfaces aided target matching tasks.

    Conclusions:

    • The effectiveness of low-VIR overviews is contingent on target simplicity.
    • High cognitive load associated with multiple-VIR interfaces may impede user performance.
    • Future designs should consider cognitive load and task-specific benefits, like comparison.